Facilitating Decision Support in Hospital Emergency Departments: A Process Orientd Perspective

Information systems exist for emergency departments (EDIS’), but even the most sophisticated ones concentrate on relatively simple coordination, resource allocation and documentation aspects of emergency department operations. There is little emphasis on management of the treatment process or optimization of resource use because definitive models do not exist for patient treatment processes. This paper outlines the identification of emergency department treatment processes and discusses how this treatment process perspective assists in framing optimization of resource utilisation, clinical decision making, training and emergency department layout

Evolution and challenges in the design of computational systems for triage assistance

AbstractCompared with expert systems for specific disease diagnosis, knowledge-based systems to assist decision making in triage usually try to cover a much wider domain but can use a smaller set of variables due to time restrictions, many of them subjective so that accurate models are difficult to build. In this paper, we first study criteria that most affect the performance of systems for triage assistance. Such criteria include whether principled approaches from machine learning can be used to increase accuracy and robustness and to represent uncertainty, whether data and model integration can be performed or whether temporal evolution can be modeled to implement retriage or represent medication responses. Following the most important criteria, we explore current systems and identify some missing features that, if added, may yield to more accurate triage systems